Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

BigDL Nano automatically accelerates TensorFlow and PyTorch pipelines by applying modern CPU optimizations.

See here for more information.

Metadata

Release files for bigdl-nano 2.4.0b20230625

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for bigdl-nano 2.4.0b20230625
File Actions
bigdl_nano-2.4.0b20230625-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for bigdl_nano-2.4.0b20230625-py3-none-win_amd64.whl
bigdl_nano-2.4.0b20230625-py3-none-manylinux2010_x86_64.whl Python 3 none Linux glibc 2.12+ x86-64 Details for bigdl_nano-2.4.0b20230625-py3-none-manylinux2010_x86_64.whl
bigdl_nano-2.4.0b20230625-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for bigdl_nano-2.4.0b20230625-py3-none-macosx_11_0_arm64.whl
bigdl_nano-2.4.0b20230625-py3-none-macosx_10_11_x86_64.whl Python 3 none macOS 10.11+ x86-64 Details for bigdl_nano-2.4.0b20230625-py3-none-macosx_10_11_x86_64.whl

Total release size: 10.9 MB

Release files / bigdl_nano-2.4.0b20230625-py3-none-win_amd64.whl

Download URL bigdl_nano-2.4.0b20230625-py3-none-win_amd64.whl
Size 2.7 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
7c27f9e20faf77ce497b72673ada780da573c9acb73e23a94da0e02c5262abda
BLAKE2b-256 checksum
How to use checksums
ef864a4e10b8245c2c137c60093f54c0b473135fc9e7765c2f7abd1d123a1a9d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.4.0b20230625-py3-none-manylinux2010_x86_64.whl

Download URL bigdl_nano-2.4.0b20230625-py3-none-manylinux2010_x86_64.whl
Size 2.7 MB
Tags Linux glibc 2.12+ x86-64 Python 3
SHA-256 checksum
How to use checksums
ffbbf1a8330baeee61fd6f2dbc76f4b39f25e1409c2fea1c012829713546f8e6
BLAKE2b-256 checksum
How to use checksums
08e5c6b62be80c77e5fb0410a61e11d379a742318e91e338be4ce6263b5f802c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.4.0b20230625-py3-none-macosx_11_0_arm64.whl

Download URL bigdl_nano-2.4.0b20230625-py3-none-macosx_11_0_arm64.whl
Size 2.7 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
47edabe14f7ac9508ee64b3ee36f01ab6860ff38707697302cccab17f033b7c0
BLAKE2b-256 checksum
How to use checksums
b6dc96706634bd50388fa21726372f4500d41e0e5fe3721dcdfeb3c05842c9da
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Release files / bigdl_nano-2.4.0b20230625-py3-none-macosx_10_11_x86_64.whl

Download URL bigdl_nano-2.4.0b20230625-py3-none-macosx_10_11_x86_64.whl
Size 2.7 MB
Tags Python 3 macOS 10.11+ x86-64
SHA-256 checksum
How to use checksums
8e244f0bd45cc35a891edb8860e222e218fdfb3f79c03caf9fcabc3e5a1018a4
BLAKE2b-256 checksum
How to use checksums
a4847cd50b098bbd3a6f9b1c58f6fd9682a75c45f0dff0496f6f054f276e5e0b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.7.15

Security for bigdl-nano 2.4.0b20230625

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page